[Proposal of a new standard for the nutritional assessment of pregnant women]

Rev Med Chil. 1997 Dec;125(12):1429-36.
[Article in Spanish]


Background: There is evidence to suggest that the criteria for nutritional assessment of pregnant women, used by the Chilean Ministry of Health, overestimates nutritional disturbances.

Aim: To propose a new reference table to assess the nutritional status of pregnant women, based on body mass index.

Material and methods: The table was theoretically defined using criteria for normality proposed by FAO and the weight increase during pregnancy that is associated with a lower maternal and fetal morbidity and mortality. In 665 pregnant women, weight, height, mid arm circumference and skinfolds were measured using standard techniques. Body mass index, arm fat and muscle area and percentage of body fat were calculated. Body composition for each nutritional category, derived from the body mass index or "Rosso-Mardones classification", was analyzed.

Results: According to the new table, under weight women had lower percentage of body fat and mid arm circumference and overweight women had higher weight, skinfold thickness and percentage of body fat than the homologous groups defined according to Rosso-Mardones tables.

Conclusions: The proposed reference table may be useful to correct distortions generated by the current norms for nutritional assessment of pregnant women, proposed by the Chilean Ministry of Health. It has to be validated, analyzing its sensitivity, specificity and predictive value to predict fetal and maternal variables.

Publication types

  • English Abstract
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Body Mass Index
  • Chile
  • Cohort Studies
  • Female
  • Fetal Macrosomia
  • Gestational Age
  • Humans
  • Infant, Low Birth Weight
  • Infant, Newborn
  • Nutrition Assessment*
  • Nutritional Status*
  • Obstetric Labor Complications
  • Predictive Value of Tests
  • Pregnancy
  • Prenatal Care*
  • Prospective Studies
  • Reference Standards
  • Sensitivity and Specificity
  • Urban Population